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Largest Eagle
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How I increased my testosterone levels from 380 ng/dl (first test), 480 ng/dl (second test) to 836 ng/dl in less than a year, naturally, so about a 2x increase. After reading a few studies on how testosterone is a hormone linked to greater resilience, higher drive, physical recovery, stress tolerance, and energy levels I was intrigued to do an experiment if it would help me. Note: I did not only introduce supplements, but also improved sleep etc at the same time. Causality is hard, but I do believe the supplements have helped increase my testosterone, my estimate is at least ~200 total increase from supplements. I encourage you to do blood test before and after to confirm that it works though as I am only n=1. Evaluating your own resilience, drive, energy level etc is a lot harder and what is even harder is determining causality. I am careful to say it has made any difference for me personally: I don't know, but at least I can say I am stronger in the gym :)

Meta review mentioned in video: https://www.mdpi.com/2673-396X/2/2/11/htm
Good video on testosterone: https://youtu.be/BtHg1AJwOzs

The exact supplements I take (I ordered from amazon DE):
Ashwaganda (500mg per capsule, 2x daily, once earlier in the day and once taken before bed): https://amzn.to/3UAWdJF
D Vitamin (5000 IU daily, taken with food): https://amzn.to/3E7T39b
Zinc Bisglycinate (25mg daily): https://amzn.to/3g4UGwl
Magnesium Bisglycinate (300mg, 2 capsules before bed): https://amzn.to/3TC344n
Creatine Monohydrate (5g a day): https://amzn.to/3UzPkrP
Fenugreek (650 mg a day, 2 capsules): https://amzn.to/3AeLNHj
Boron (6 to 9mg a day, 2-3 capsules): https://amzn.to/3hA3SJr
Fadogia Agrestis (300 to 600mg daily, 1-2 capsules): https://amzn.to/3UVqrqx
Tongkat Ali (500mg daily, 1 capsule): https://amzn.to/3EFJmR3

I also take these for improved sleep:
L-theanine (200-400mg, ~30 minutes before bed): https://amzn.to/3trKwsM
Melatonin (0.5mg, ~30 minutes before bed, I use maybe 3x a week): https://amzn.to/3Ah7HK9
Magnesium bisglycinate(~ 30 minutes before bed): mentioned above already
Apigenin (50mg, 1 capsule, ~ 30 minutes before bed): https://amzn.to/3gbSTFI

Others:
Omega 3 (4-5 capsules, 2-2.5gram EPA a day, note this is not triglyceride formula so take with foods and store in freezer/fridge): https://amzn.to/3hHZMPs
Icing testicles (free): 15 min/day before bed while reading. Lol :)

*Disclaimer: This video or video description contains affiliate links. That means that I am awarded a small commission for purchases made through them, at no added cost for you.

Timestamps:
0:00 - Introduction
1:09 - Bloodwork result
3:07 - Why do you want to increase it?
6:18 - General advice (Notes) from Huberman to increase it
7:45 - Thoughts on diet
9:30 - Supplements meta review
11:00 - Magnesium Bisglycinate
11:51 - Tonkat Ali (huberman talks a lot about this)
13:30 - Boron for lowering SHBG
15:23 - Ashwaganda
16:30 - Fenugreek
17:00 - Additional supplements that was not included in meta review
17:54 - Other interesting avenue, that's free :) (icing)
21:47 - Summary and why you (most likely) do not need lifelong TRT

F9 (alternatively known as Fast & Furious 9) is an upcoming American action film directed by Justin Lin and written by Daniel Casey. A sequel to 2017's The Fate of the Furious, it will be the ninth main installment in the Fast & Furious franchise and the tenth full-length film released overall. It is the first film in the series since 2013's Fast & Furious 6 to be directed by Lin, and the first since 2003's 2 Fast 2 Furious not to be written or co-written by Chris Morgan. The film will star Vin Diesel, John Cena, Michelle Rodriguez, Tyrese Gibson, Chris "Ludacris" Bridges, Jordana Brewster, Nathalie Emmanuel, Sung Kang, Helen Mirren, and Charlize Theron.

Looking to sell your car? Then you've come to the right place. carwow is the free, easy way to change your car online. Check it out here: https://bit.ly/Buy-Sell-WOW
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Introducing the all-new BMW 7 Series & all-electric i7! Don’t worry, there isn’t a concept car insight in this video - this is what these new cars will actually look like!

So let’s take a closer look… Both the 7 Series & i7 are remarkably similar, which means both look less aggressive than the previous-generation 7 Series, coming with a massive grille upfront, flush door handles, and a much cleaner rear end. If anything, the rear design makes it look a bit old fashioned!

Step inside, and there are luxurious designs and materials throughout the entire cabin. Both cars come with BMW’s curved infotainment screen, which is attached to a minimalist dash. There are also a number of trims and materials to choose from, too, including cashmere seat fabric!

The biggest improvement to the interior, though, is definitely in the rear. Back seat passengers will have the option to reveal a 31” 8k cinema screen which is also accompanied by 36 speakers throughout the cabin! It’s also possible to recline the rear seats to truly enjoy your movies in style & comfort.

There are a load of engines & batteries to choose from, with the 7 Series range-topper being the M760e hybrid, which combines an engine and motors to deliver 571hp and to hit 60mph in around 4.3 seconds. BMW has also confirmed an i7 M70 is on the way in the future, which should be good for 660hp & 1,000Nm!!

So what do you think - are we looking at the must-have luxury limos of 2022 & 2023? Stick with Mat to see for yourself!

Chapters
00:00 Intro
00:24 Design
01:46 Interior
02:44 Theatre Screen
03:40 Motors & Batteries
04:48 Engines
06:17 Chassis
06:43 Long Wheelbase
07:15 Suspension
07:55 Driving
08:22 Price

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Oder auch in Deutschland Geld beim Autokauf sparen – http://bit.ly/carwow-DE

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Deep Nets come in a large variety of structures and sizes, so how do you decide which kind to use? The answer depends on whether you are classifying objects or extracting features. Let’s take a look at your choices.

Deep Learning TV on
Facebook: https://www.facebook.com/DeepLearningTV/
Twitter: https://twitter.com/deeplearningtv

A forewarning: this section contains several new terms, but rest assured – they will all be explained in the upcoming video clips.

If your goal is to train a classifier with a set of labelled data, you should use a Multilayer Perceptron (MLP) or a Deep Belief Network (DBN). Here are some guidelines if you are targeting any of the following applications:

- Natural Language Processing: use a Recursive Neural Tensor Network (RNTN) or Recurrent Net.
- Image Recognition: use a DBN or Convolutional Net
- Object Recognition: use a Convolutional Net or RNTN
- Speech Recognition: use a Recurrent Net

If your goal is to extract potentially useful patterns from a set of unlabelled data, you should use a Restricted Boltzmann Machine (RBM) or some other kind of autoencoder. For any work that involves the processing of time series data, use a Recurrent Net.

What deep nets do you see a use for? Please comment and let me know your thoughts.

Credits:
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelan....cers/~0147b8991909b2
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Marek Scibior (Prezi creator, Illustrator) -
http://brawuroweprezentacje.pl/
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal

PyData New York City 2017

Slides: https://ericmjl.github.io/baye....sian-deep-learning-d

In this talk, I aim to do two things: demystify deep learning as essentially matrix multiplications with weights learned by gradient descent, and demystify Bayesian deep learning as placing priors on weights. I will then provide PyMC3 and Theano code to illustrate how to construct Bayesian deep nets and visualize uncertainty in their results. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.

Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps

🔥 𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟑 (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://bit.ly/3hBzuPp
This Edureka video on "𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟑" video will introduce you to all the popular and trending IT certifications in the market which you should focus on in 2023 to get high paying job. These are the highest paying certifications that you must bag in order to have a successful career in the year 2023. Let us know your list Best IT Certifications For 2023 in the comment section below.

00:00 Top 10 Certifications For 2023

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📝Feel free to share your list of top 10 certifications for 2023 in the comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
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🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

#edureka #Top10Certifications #top10CertificationsFor2023 #Top10Certifications2023 #trendingCertifications2023 #trendingCertifications #bestCertifications #popularCertifications

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

Exploring how neural networks learn by programming one from scratch in C#, and then attempting to teach it to recognize various doodles and images.

Source code: https://github.com/SebLague/Ne....ural-Network-Experim
Demo: https://sebastian.itch.io/neur....al-network-experimen

If you'd like to support me in creating more videos (and get early access to new stuff), you can join my patreon here: https://www.patreon.com/SebastianLague

The data is from:
Digits http://yann.lecun.com/exdb/mnist/
Fashion https://github.com/zalandoresearch/fashion-mnist
Doodles https://github.com/googlecreat....ivelab/quickdraw-dat
Cifar10 https://www.cs.toronto.edu/~kriz/cifar.html

Chapters
0:00 Introduction
2:39 The decision boundary
3:49 Weights
5:42 Biases
6:45 Hidden layers
7:45 Programming the network
9:57 Activation functions
12:42 Cost
15:07 Gradient descent example
18:22 The cost landscape
19:55 Programming gradient descent
21:10 It's learning! (slowly)
23:21 Calculus example
27:34 The chain rule
29:50 Some partial derivatives
33:14 Backpropagation
39:25 Digit recognition
43:56 Drawing our own digits
47:37 Fashion
48:25 Doodles
52:00 The final challenge

Music:
Cosmic Waves - Michael FK
Amber - The Stolen Orchestra
Beyond the Horizon - Sounds Like Sander
Air - Assaf Ayalon
Purest Form - Sounds Like Sander
Hear Wide Open - Sounds Like Sander
Universal Wonder - Moments
Roman P - Moments
All In Good Time - Shimmer
It Will Come Back - The Stolen Orchestra
Frontier - Shimmer
New Moon - Cloud Wave
Sunflower - Cody Martin
Inner Peace - Moments
Enchanted - Cody Martin
Just Around The Corner - Shimmer

고려대학교 산업경영공학과 일반대학원
Unstructured Data Analysis
08-4: GPT
Generative Pre-Trained Word Vectors, Transformer Decoder

https://github.com/pilsung-kang/text-analytics